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1.
PLoS Genet ; 4(10): e1000239, 2008 Oct.
Article in English | MEDLINE | ID: mdl-18974871

ABSTRACT

Recent studies have detailed a remarkable degree of genetic and linguistic diversity in Northern Island Melanesia. Here we utilize that diversity to examine two models of genetic and linguistic coevolution. The first model predicts that genetic and linguistic correspondences formed following population splits and isolation at the time of early range expansions into the region. The second is analogous to the genetic model of isolation by distance, and it predicts that genetic and linguistic correspondences formed through continuing genetic and linguistic exchange between neighboring populations. We tested the predictions of the two models by comparing observed and simulated patterns of genetic variation, genetic and linguistic trees, and matrices of genetic, linguistic, and geographic distances. The data consist of 751 autosomal microsatellites and 108 structural linguistic features collected from 33 Northern Island Melanesian populations. The results of the tests indicate that linguistic and genetic exchange have erased any evidence of a splitting and isolation process that might have occurred early in the settlement history of the region. The correlation patterns are also inconsistent with the predictions of the isolation by distance coevolutionary process in the larger Northern Island Melanesian region, but there is strong evidence for the process in the rugged interior of the largest island in the region (New Britain). There we found some of the strongest recorded correlations between genetic, linguistic, and geographic distances. We also found that, throughout the region, linguistic features have generally been less likely to diffuse across population boundaries than genes. The results from our study, based on exceptionally fine-grained data, show that local genetic and linguistic exchange are likely to obscure evidence of the early history of a region, and that language barriers do not particularly hinder genetic exchange. In contrast, global patterns may emphasize more ancient demographic events, including population splits associated with the early colonization of major world regions.


Subject(s)
Biological Evolution , Ethnicity/genetics , Genetic Variation , Language , Alleles , Chromosomes, Human, Y/genetics , Computer Simulation , DNA, Mitochondrial/genetics , Geography , Humans , Linguistics , Male , Melanesia , Microsatellite Repeats , Models, Biological , Phylogeny
2.
Am J Phys Anthropol ; 139(1): 35-46, 2009 May.
Article in English | MEDLINE | ID: mdl-19226641

ABSTRACT

Several recent studies have argued that human genetic variation conforms to a model of isolation by distance, whereas others see a predominant role for long-range migrations and bottlenecks. It is unclear whether either of these views fully describes the global pattern of human genetic variation. In this article, we use a coalescent-based simulation approach to compare the pattern of neutral genetic variation predicted by these views to the observed pattern estimated from neutral autosomal microsatellites assayed in 1,032 individuals from 53 globally-distributed populations. We find that neither view predicts every aspect of the observed pattern of variation on its own, but that a combination of the two does. Specifically, we demonstrate that the observed pattern of global gene identity variation is consistent with a history of serial population fissions, bottlenecks and long-range migrations associated with the peopling of major geographic regions, and gene flow between local populations. This history has produced a nested pattern of genetic structure that is inconsistent with the existence of independently evolving biological races. We consider the implications of our findings for methods that apportion variation into within- and between-group components and for medical genetics.


Subject(s)
Emigration and Immigration , Founder Effect , Genes/genetics , Genetic Variation , Genetics, Population , Models, Genetic , Racial Groups/genetics , Computer Simulation , Humans , Microsatellite Repeats/genetics
3.
Am J Phys Anthropol ; 139(1): 23-34, 2009 May.
Article in English | MEDLINE | ID: mdl-19226648

ABSTRACT

Interest in genetic diversity within and between human populations as a way to answer questions about race has intensified in light of recent advances in genome technology. The purpose of this article is to apply a method of generalized hierarchical modeling to two DNA data sets. The first data set consists of a small sample of individuals (n = 32 total, from eight populations) who have been fully resequenced for 63 loci that encode a total of 38,534 base pairs. The second data set consists of a large sample of individuals (n = 928 total, from 46 populations) who have been genotyped at 580 loci that encode short tandem repeats. The results are clear and somewhat surprising. We see that populations differ in the amount of diversity that they harbor. The pattern of DNA diversity is one of nested subsets, such that the diversity in non-Sub-Saharan African populations is essentially a subset of the diversity found in Sub-Saharan African populations. The actual pattern of DNA diversity creates some unsettling problems for using race as meaningful genetic categories. For example, the pattern of DNA diversity implies that some populations belong to more than one race (e.g., Europeans), whereas other populations do not belong to any race at all (e.g., Sub-Saharan Africans). As Frank Livingstone noted long ago, the Linnean classification system cannot accommodate this pattern because within the system a population cannot belong to more than one named group within a taxonomic level.


Subject(s)
DNA/genetics , Genetic Variation , Genetics, Population , Models, Genetic , Racial Groups/classification , Racial Groups/genetics , Base Sequence , Ethnicity/genetics , Humans , Molecular Sequence Data , Sequence Analysis, DNA
4.
PLoS One ; 12(10): e0185503, 2017.
Article in English | MEDLINE | ID: mdl-28977000

ABSTRACT

We examined the relationship between continental-level genetic ancestry and racial and ethnic identity in an admixed population in New Mexico with the goal of increasing our understanding of how racial and ethnic identity influence genetic substructure in admixed populations. Our sample consists of 98 New Mexicans who self-identified as Hispanic or Latino (NM-HL) and who further categorized themselves by race and ethnic subgroup membership. The genetic data consist of 270 newly-published autosomal microsatellites from the NM-HL sample and previously published data from 57 globally distributed populations, including 13 admixed samples from Central and South America. For these data, we 1) summarized the major axes of genetic variation using principal component analyses, 2) performed tests of Hardy Weinberg equilibrium, 3) compared empirical genetic ancestry distributions to those predicted under a model of admixture that lacked substructure, 4) tested the hypotheses that individuals in each sample had 100%, 0%, and the sample-mean percentage of African, European, and Native American ancestry. We found that most NM-HL identify themselves and their parents as belonging to one of two groups, conforming to a region-specific narrative that distinguishes recent immigrants from Mexico from individuals whose families have resided in New Mexico for generations and who emphasize their Spanish heritage. The "Spanish" group had significantly lower Native American ancestry and higher European ancestry than the "Mexican" group. Positive FIS values, PCA plots, and heterogeneous ancestry distributions suggest that most Central and South America admixed samples also contain substructure, and that this substructure may be related to variation in social identity. Genetic substructure appears to be common in admixed populations in the Americas and may confound attempts to identify disease-causing genes and to understand the social causes of variation in health outcomes and social inequality.


Subject(s)
Ethnicity/genetics , Population Groups/genetics , Social Identification , Female , Humans , Latin America , Male , Microsatellite Repeats/genetics , New Mexico , Principal Component Analysis
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